Artificial Intelligence, English, and Translanguaging: Navigating Multilingual Communication in the Digital Age
DOI:
https://doi.org/10.66121/vmyv9j11Keywords:
AI-based educationAbstract
Artificial intelligence (AI) is reshaping academic and communicative practices, particularly through natural language processing (NLP), machine translation, speech recognition, and language-learning technologies. In multilingual Southern African contexts, these developments have renewed interest in translanguaging as a way of understanding multilingual meaning-making in digital environments. This conceptual paper examines how AI and NLP models intersect with translanguaging practices in relation to the Nguni languages, particularly siNdebele, isiXhosa, isiZulu, and siSwati. It considers how AI-mediated translanguaging may support multilingual communication, English language learning, digital literacy, and learner autonomy, while remaining constrained by data scarcity, uneven technological investment, and culturally embedded meanings. The paper argues that while AI tools may support language acquisition and communication, Nguni languages contain culturally specific lexicons, euphemistic expressions, prosodic features, and patterns of diction that vary across communities. These cultural and linguistic features complicate any attempt to treat AI-supported translanguaging as a purely technical problem. Any AI model intended for Nguni-language communication must therefore account for the cultural imperatives, semantic nuance, and educational realities of these languages.
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